Developer Technology Engineer, HPC and AI
NVIDIA· Engineer, Tech SW
Taipei, Taiwanfull-timePosted 6mo ago
About the role
NVIDIA DevTech role focused on researching and developing cutting-edge techniques in deep learning, ML, HPC, graphs, and data analytics, optimizing workloads on NVIDIA accelerated computing platforms, and collaborating across teams and with customers.
Responsibilities
- Research and develop cutting-edge techniques in deep learning, machine learning, HPC, graphs and data analytics, and perform in-depth analysis and optimization to ensure the best performance on NVIDIA current- and next-generation accelerated computing platform, including GPU, CPU and DPU.
- Work directly with key customers to understand current and future problems and optimize workloads to maximize performance on our platform.
- Collaborate closely with architecture, research, libraries, tools, and system software teams at NVIDIA to design and develop next-generation architectures, software platforms, and programming models.
Qualifications
- MS or PhD from university in engineering or computer science or related disciplines
- 2+ years working experience
- Strong knowledge of C/C++, software design, programming techniques, or AI algorithms and system
- Experience with accelerated computing, ideally CUDA C/C++/Python
- Good communication and problem-solving skills
Skills
Required:C/C++CUDA C/C++/PythonAI/ML/HPC
Benefits
- With highly competitive salaries and a comprehensive benefits package (implicit in description)
Last updated Jul 3, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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